论文标题
量化对省略代词的话语支持
Quantifying Discourse Support for Omitted Pronouns
论文作者
论文摘要
Pro-Drop通常在许多语言中可以看到，但其话语动机并没有得到很好的特征。受中文主题链理论的启发，这项研究表明了角色 - 动词的使用连续性如何将删除的代词与公开参考对故事人物的介绍区分开来。我们对掉落而不是掉落作为字符 - 动词连续性的函数进行建模。结果表明，省略的受试者具有比非分子的受试者具有更高的字符历史流动连续性显着性。这与话语与特定主题（例如故事特征）相一致的想法确实有助于在其可选的语言和上下文中省略代词。
Pro-drop is commonly seen in many languages, but its discourse motivations have not been well characterized. Inspired by the topic chain theory in Chinese, this study shows how character-verb usage continuity distinguishes dropped pronouns from overt references to story characters. We model the choice to drop vs. not drop as a function of character-verb continuity. The results show that omitted subjects have higher character history-current verb continuity salience than non-omitted subjects. This is consistent with the idea that discourse coherence with a particular topic, such as a story character, indeed facilitates the omission of pronouns in languages and contexts where they are optional.
